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Mathematical Problems in Engineering
Volume 2018, Article ID 3598316, 7 pages
https://doi.org/10.1155/2018/3598316
Research Article

Object Detection Based on Fast/Faster RCNN Employing Fully Convolutional Architectures

1ATR National Lab, National University of Defense Technology, Changsha 410073, China
2State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China

Correspondence should be addressed to Yun Ren; moc.361@tdun_nuyner

Received 23 October 2017; Accepted 12 December 2017; Published 9 January 2018

Academic Editor: Francesco Marotti de Sciarra

Copyright © 2018 Yun Ren et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yun Ren, Changren Zhu, and Shunping Xiao, “Object Detection Based on Fast/Faster RCNN Employing Fully Convolutional Architectures,” Mathematical Problems in Engineering, vol. 2018, Article ID 3598316, 7 pages, 2018. https://doi.org/10.1155/2018/3598316.